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katelyn-celebrity-playbook

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Turn celebrity analysis into ready-to-use demos.

Content & Communication#workflow#benchmark#rotation#celebrity-analysis#demo-content#topic-radar#engine-vs-reality
AuthorRealLoveBeatsHateFeelMe
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides a structured framework for celebrity analysis to generate topic-radar insights and demo-ready articles, including a rotating celebrity roster, an ENGINE-vs-REALITY comparison methodology, and benchmark analyses like the Taylor Swift case.

Core Features & Use Cases

  • Celebrity selection criteria: publicly verifiable birth dates, verifiable career events, active audience, and sustained career length.
  • Rotating talent pool: monthly lineup including Taylor Swift, Elon Musk, MMA fighters, and music artists.
  • ENGINE-vs-REALITY framework: a structured mapping to translate engine outputs into real-world narratives and validation points.
  • Taylor Swift benchmark: comprehensive six-dimension mapping serving as a reference for other analyses.
  • Workflow orchestration: used during topic-radar workflows to produce platform-ready drafts.

Quick Start

Review the current month celebrity rotation and apply the ENGINE-vs-REALITY framework to generate a Taylor Swift benchmark analysis.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: katelyn-celebrity-playbook
Download link: https://github.com/RealLoveBeatsHateFeelMe/Katelyn-openclaw/archive/main.zip#katelyn-celebrity-playbook

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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